This paper discusses the traditional specification problem from a geometric viewpoint. While the traditional emphasis is on the properties of estimators, the geometric approach also allows an easy development of corresponding results for inference. Errors arising from artificial inclusion or exclusion of variables are considered in terms of augmentations or restrictions on a given maintained hypothesis, and this allows a corresponding interpretation of tests based upon the Wald and Lagrange Multiplier Principles. It is demonstrated that biases arising from incorrect exclusion of variables do not invalidate the traditional F-test
A problem with the use of flexible functional forms is that the estimated functions frequently viola...
We first investigate the meaning of "statistical methods" for geometric inference based on i...
This thesis consists of three papers which deal with three different econometric problems but have a...
When coefficients of endogenous variables are known, it is demonstrated that two-stage least squares...
It is well known that most of the standard specification tests are not robust when the alternative i...
We investigate the meaning of "statistical methods" for geometric inference based on image feature p...
9 pages, 1 article*Tests of Homogeneity and Goodness-of-Fit to a Truncated Geometric Distribution: ...
Compatibility modification inference alters the consequent of a rule based on the compatibility of t...
In models estimated by (generalized) method of moments a test on coefficient restrictions can either...
This paper is related to the specification test introduced by J. Hausman. A specification test is of...
Contrasting “geometric fitting”, for which the noise level is taken as the asymptotic variable, with...
It is well known that most of the standard specification tests are not robust when the alternative i...
In statistical inference one of the most important properties that an estimator of an unknown parame...
We show how information geometry throws new light on the interplay between goodness-of-fit and estim...
In order to facilitate smooth communications with researchers in other fields including statistics, ...
A problem with the use of flexible functional forms is that the estimated functions frequently viola...
We first investigate the meaning of "statistical methods" for geometric inference based on i...
This thesis consists of three papers which deal with three different econometric problems but have a...
When coefficients of endogenous variables are known, it is demonstrated that two-stage least squares...
It is well known that most of the standard specification tests are not robust when the alternative i...
We investigate the meaning of "statistical methods" for geometric inference based on image feature p...
9 pages, 1 article*Tests of Homogeneity and Goodness-of-Fit to a Truncated Geometric Distribution: ...
Compatibility modification inference alters the consequent of a rule based on the compatibility of t...
In models estimated by (generalized) method of moments a test on coefficient restrictions can either...
This paper is related to the specification test introduced by J. Hausman. A specification test is of...
Contrasting “geometric fitting”, for which the noise level is taken as the asymptotic variable, with...
It is well known that most of the standard specification tests are not robust when the alternative i...
In statistical inference one of the most important properties that an estimator of an unknown parame...
We show how information geometry throws new light on the interplay between goodness-of-fit and estim...
In order to facilitate smooth communications with researchers in other fields including statistics, ...
A problem with the use of flexible functional forms is that the estimated functions frequently viola...
We first investigate the meaning of "statistical methods" for geometric inference based on i...
This thesis consists of three papers which deal with three different econometric problems but have a...